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AnyLogic Cloud API: Python


AnyLogic Cloud API: Python

Introducing the AnyLogic Cloud API and Python. In this blog, see how to use the AnyLogic Cloud API with Python and evaluate its capabilities with an example model.

Python’s popularity ranks just behind that of JavaScript as the world’s second most popular language on GitHub. It is a popular language for machine learning, data processing, and data presentation. For AnyLogic, the Pypeline connector library allows you to call Python from within a running AnyLogic simulation model — learn more in our Pypeline webinar video. In this blog we will focus on the AnyLogic Cloud API and Python.

AnyLogic 9 overview and roadmap


AnyLogic 9 overview and roadmap

Upcoming features and functionality for AnyLogic 9 were previewed alongside AnyLogic 8.7 and AnyLogic Cloud developments at the online AnyLogic User Experience with MaxRad Software.

AnyLogic 9 will be a major update and many new details were revealed during the session from The AnyLogic Company CEO, Andrei Borshchev, Principle Software Engineer, Nikolay Churkov, and Head of AnyLogic Cloud Development, Alexander Rakulenko.

Here is the presentation recording with a follow-up question and answer session.

AnyLogic Cloud API: New Possibilities


AnyLogic Cloud API: New Possibilities

Along with the release of AnyLogic 8.5, came the new features of AnyLogic Cloud API 8.5.0. Using the API, you can configure and remotely run simulation models in the cloud, as well as create user interfaces for them. You can find out about these and other features in our previous blog. In this post, the focus is on analyzing the new features and trying out the examples.

Follow the examples and find out how to use the AnyLogic Cloud API to remotely run experiments and create custom user interfaces.

JavaScript code snippets are provided so that you can reproduce the examples for yourself. Here's what you need to get started! Dive in!